Remove long deprecated numpy resampling cache helper

pytroll · Oct 23, 2023 · 59c8b94 · 59c8b94
1 parent dc3ee7d
commit 59c8b94
Showing 1 changed file with 0 additions and 31 deletions.
diff --git a/satpy/resample.py b/satpy/resample.py
@@ -436,41 +436,10 @@ def _apply_cached_index(self, val, idx_name, persist=False):
         setattr(self.resampler, idx_name, val)
         return val
 
-    def _check_numpy_cache(self, cache_dir, mask=None,
-                           **kwargs):
-        """Check if there's Numpy cache file and convert it to zarr."""
-        if cache_dir is None:
-            return
-        fname_np = self._create_cache_filename(cache_dir,
-                                               prefix='resample_lut-',
-                                               mask=mask, fmt='.npz',
-                                               **kwargs)
-        fname_zarr = self._create_cache_filename(cache_dir, prefix='nn_lut-',
-                                                 mask=mask, fmt='.zarr',
-                                                 **kwargs)
-        LOG.debug("Check if %s exists", fname_np)
-        if os.path.exists(fname_np) and not os.path.exists(fname_zarr):
-            import warnings
-            warnings.warn(
-                "Using Numpy files as resampling cache is deprecated.",
-                stacklevel=3
-            )
-            LOG.warning("Converting resampling LUT from .npz to .zarr")
-            zarr_out = xr.Dataset()
-            with np.load(fname_np, 'r') as fid:
-                for idx_name, coord in NN_COORDINATES.items():
-                    zarr_out[idx_name] = (coord, fid[idx_name])
-
-            # Write indices to Zarr file
-            zarr_out.to_zarr(fname_zarr)
-            LOG.debug("Resampling LUT saved to %s", fname_zarr)
-
     def load_neighbour_info(self, cache_dir, mask=None, **kwargs):
         """Read index arrays from either the in-memory or disk cache."""
         mask_name = getattr(mask, 'name', None)
         cached = {}
-        self._check_numpy_cache(cache_dir, mask=mask_name, **kwargs)
-
         for idx_name in NN_COORDINATES:
             if mask_name in self._index_caches:
                 cached[idx_name] = self._apply_cached_index(